Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
The Clearest Explanation Ever of the Key Accounting Basics
The world of accounting can be intimidating. Whether you're a manager, business owner or aspiring entrepreneur, you've likely found yourself needing to know basic accounting...but baffled by complicated accounting books. What if learning accounting could be as simple and fun as running a child's lemonade stand? It can.
The Accounting Game presents financial information in a format so simple and so unlike a common accounting textbook, you may forget you're learning key skills that will help you get ahead! Using the world of a child's lemonade stand to teach the basics of managing your finances, this book makes a dry subject fun and understandable. As you run your stand, you'll begin to understand and apply financial terms and concepts like assets, liabilities, earnings, inventory and notes payable, plus:
--Interactive format gives you hands-on experience
--Color-coded charts and worksheets help you remember key terms
--Step-by-step process takes you from novice to expert with ease
--Fun story format speeds retention of essential concepts
--Designed to apply what you learn to the real world
The revolutionary approach of The Accounting Game takes the difficult subjects of accounting and business finance and makes them something you can easily learn, understand, remember and use!
"The game approach makes the subject matter most understandable. I highly recommend it to anyone frightened by either numbers or accountants."
-John Hernandis, Director of Corporate Communications, American Greetings
This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.Understand Lean Startup, analytics fundamentals, and the data-driven mindsetLook at six sample business models and how they map to new ventures of all sizesFind the One Metric That Matters to youLearn how to draw a line in the sand, so you’ll know it’s time to move forwardApply Lean Analytics principles to large enterprises and established products
Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life.
In A Mind for Numbers, Dr. Oakley lets us in on the secrets to learning effectively—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. The learning strategies in this book apply not only to math and science, but to any subject in which we struggle. We all have what it takes to excel in areas that don't seem to come naturally to us at first, and learning them does not have to be as painful as we might think!
From the Trade Paperback edition.
This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
“[Taleb is] Wall Street’s principal dissident. . . . [Fooled By Randomness] is to conventional Wall Street wisdom approximately what Martin Luther’s ninety-nine theses were to the Catholic Church.”
–Malcolm Gladwell, The New Yorker
Finally in paperback, the word-of-mouth sensation that will change the way you think about the markets and the world.This book is about luck: more precisely how we perceive luck in our personal and professional experiences.
Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill–the world of business–Fooled by Randomness is an irreverent, iconoclastic, eye-opening, and endlessly entertaining exploration of one of the least understood forces in all of our lives.
From the Trade Paperback edition.
So why is it so hard to make sound decisions? In Think Twice, now in paperback, Michael Mauboussin argues that we often fall victim to simplified mental routines that prevent us from coping with the complex realities inherent in important judgment calls. Yet these cognitive errors are preventable.
In this engaging book, Mauboussin shows us how to recognize and avoid common mental missteps. These include misunderstanding cause-and-effect linkages, not considering enough alternative possibilities in making a decision, and relying too much on experts.
Through vivid stories, the author presents memorable rules for avoiding each error and explains how to recognize when you should “think twice”—questioning your reasoning and adopting decision-making strategies that are far more effective, even if they seem counterintuitive. Armed with this awareness, you'll soon begin making sounder judgment calls that benefit (rather than hurt) your organization.
The trick, of course, is figuring out just how many of our successes (and failures) can be attributed to each—and how we can learn to tell the difference ahead of time.
In most domains of life, skill and luck seem hopelessly entangled. Different levels of skill and varying degrees of good and bad luck are the realities that shape our lives—yet few of us are adept at accurately distinguishing between the two. Imagine what we could accomplish if we were able to tease out these two threads, examine them, and use the resulting knowledge to make better decisions.
In this provocative book, Michael Mauboussin helps to untangle these intricate strands to offer the structure needed to analyze the relative importance of skill and luck. He offers concrete suggestions for making these insights work to your advantage. Once we understand the extent to which skill and luck contribute to our achievements, we can learn to deal with them in making decisions.
The Success Equation helps us move toward this goal by:
• Establishing a foundation so we better understand skill and luck, and can pinpoint where each is most relevant
• Helping us develop the analytical tools necessary to understand skill and luck
• Offering concrete suggestions about how to take these findings and put them to work
Showcasing Mauboussin’s trademark wit, insight, and analytical genius, The Success Equation is a must-read for anyone seeking to make better decisions—in business and in life.
Michael Lewis creates a fresh, character-driven narrative brimming with indignation and dark humor, a fitting sequel to his #1 bestseller Liar's Poker. Out of a handful of unlikely-really unlikely-heroes, Lewis fashions a story as compelling and unusual as any of his earlier bestsellers, proving yet again that he is the finest and funniest chronicler of our time.
In the late 1980s, Japanese scientists were trying to figure out the economic damage that would be caused if a catastrophic earthquake destroyed Tokyo. The answer was bleak, but not for Japan. Kaoru Oda, an economist who worked for Tokai Bank, speculated that the United States would end up paying the most. Why? Japan owned trillions of dollars’ worth of foreign liquid assets and investments. These assets, which the world depended on, would be sold, forcing countries into the precarious position of having to return large amounts of money they might not have. After the recent earthquake, Michael Lewis reexamined this hypothesis and came to a surprising conclusion. With his characteristic sense of humor and wit, Lewis, once again, explains the inner workings of a financial catastrophe.
“How a Tokyo Earthquake Could Devastate Wall Street” appears in Michael Lewis’s book The Money Culture.
This insightful and eloquent book will show you how to measure those things in your own business, government agency or other organization that, until now, you may have considered "immeasurable," including customer satisfaction, organizational flexibility, technology risk, and technology ROI.Adds new measurement methods, showing how they can be applied to a variety of areas such as risk management and customer satisfaction Simplifies overall content while still making the more technical applications available to those readers who want to dig deeper Continues to boldly assert that any perception of "immeasurability" is based on certain popular misconceptions about measurement and measurement methods Shows the common reasoning for calling something immeasurable, and sets out to correct those ideas Offers practical methods for measuring a variety of "intangibles" Provides an online database (www.howtomeasureanything.com) of downloadable, practical examples worked out in detailed spreadsheets
Written by recognized expert Douglas Hubbard—creator of Applied Information Economics—How to Measure Anything, Third Edition illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.
New to the fourth edition are the topics of common and special causes, outliers, and risk management tools. Besides the new topics, many current topics have been expanded to reflect changes in auditing practices since 2004 and ISO 19011 guidance, and they have been rewritten to promote the common elements of all types of system and process audits.
The handbook can be used by new auditors to gain an understanding of auditing. Experienced auditors will find it to be a useful reference. Audit managers and quality managers can use the handbook as a guide for leading their auditing programs. The handbook may also be used by trainers and educators as source material for teaching the fundamentals of auditing.
THE EASY WAY TO GET STARTED
Everything You Need to Know About How To:
Trying to outwit the market is a bad gamble. If you're serious about investing for the long run, you have to take a no-nonsense, businesslike approach to your portfolio. In addition to covering all the basics, this new edition of All About Asset Allocation includes timely advice on:Learning which investments work well together and why Selecting the right mutual funds and ETFs Creating an asset allocation that’s right for your needs Knowing how and when to change an allocation Understanding target-date mutual funds
"All About Asset Allocation offers advice that is both prudent and practical--keep it simple, diversify, and, above all, keep your expenses low--from an author who both knows how vital asset allocation is to investment success and, most important, works with real people." -- John C. Bogle, founder and former CEO, The Vanguard Group
"With All About Asset Allocation at your side, you'll be executing a sound investment plan, using the best materials and wearing the best safety rope that money can buy." -- William Bernstein, founder, Effi cientFrontier.com, and author, The Intelligent Asset Allocator
But Hand is no believer in superstitions, prophecies, or the paranormal. His definition of "miracle" is thoroughly rational. No mystical or supernatural explanation is necessary to understand why someone is lucky enough to win the lottery twice, or is destined to be hit by lightning three times and still survive. All we need, Hand argues, is a firm grounding in a powerful set of laws: the laws of inevitability, of truly large numbers, of selection, of the probability lever, and of near enough.
Together, these constitute Hand's groundbreaking Improbability Principle. And together, they explain why we should not be so surprised to bump into a friend in a foreign country, or to come across the same unfamiliar word four times in one day. Hand wrestles with seemingly less explicable questions as well: what the Bible and Shakespeare have in common, why financial crashes are par for the course, and why lightning does strike the same place (and the same person) twice. Along the way, he teaches us how to use the Improbability Principle in our own lives—including how to cash in at a casino and how to recognize when a medicine is truly effective.
An irresistible adventure into the laws behind "chance" moments and a trusty guide for understanding the world and universe we live in, The Improbability Principle will transform how you think about serendipity and luck, whether it's in the world of business and finance or you're merely sitting in your backyard, tossing a ball into the air and wondering where it will land.
Over the years, market developments have proven the wisdom of Graham’s strategies. While preserving the integrity of Graham’s original text, this revised edition includes updated commentary by noted financial journalist Jason Zweig, whose perspective incorporates the realities of today’s market, draws parallels between Graham’s examples and today’s financial headlines, and gives readers a more thorough understanding of how to apply Graham’s principles.
Vital and indispensable, The Intelligent Investor is the most important book you will ever read on how to reach your financial goals.
R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research.
Covers the freely-available R language for statistics Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done
Trying to get certified and become an accountant? Own a small business but need a little help balancing your books? Don't worry! This hands-on guide provides the learning and vital practice you need to master important accounting concepts and basics. Perfect as a companion workbook for Accounting For Dummies -- or any other accounting textbook -- Accounting Workbook For Dummies gives you a wealth of real-world examples, demonstration problems, and handy exercises. With this helpful resource as your guide, you'll master balance sheets, income statements, and budgets in no time!
100s of Problems!
* Record transactions, track costs, and manage accounts
* Open and close bookkeeping cycles
* Analyze business performance and profit
* Choose the right accounting method
* Master investment accounting fundamentals
* Understand manufacturing cost accounting
Packed with vital information culled from the extensive For Dummies accounting, bookkeeping, and auditing libraries, Accounting All-in-One For Dummies is a powerful, one-stop reference.
Accounting All-in-One For Dummies is a comprehensive resource on a variety of accounting concepts. You’ll get up to speed on: setting up your accounting system; recording accounting transactions; adjusting and closing entries; preparing income statements and balance sheets; planning and budgeting for your business; handling cash and making purchase decisions; and more.Ways to report on your financial statements How to make savvy business decisions Auditing and detecting financial fraud
Accounting All-in-One For Dummies is a one-stop reference for students studying the application of accounting theories and a valuable desk reference for accounting professionals in the workforce.
Imagine a company where employees set their own hours; where there are no offices, no job titles, no business plans; where employees get to endorse or veto any new venture; where kids are encouraged to run the halls; and where the CEO lets other people make nearly all the decisions. This company—Semco—actually exists, and despite a seeming recipe for chaos, its revenues have grown from $35 million to $160 million in the last six years. It has virtually no staff turnover, and there are no signs that its growth will stop any time soon.
How did Semco become wildly successful despite breaking many of the commonly accepted laws of business? In The Seven-Day Weekend, Ricardo Semler shows that for those willing to take a chance, there is a better way to run a workplace. He explains how the technology that was supposed to make life easier—laptops, cell phones, e-mail, pagers—has in fact stolen free time and destroyed the traditional nine-to-five workday. But this can be a good thing—if you have the freedom to get your job done on your own terms and to blend your work life and personal life with enthusiasm and creative energy. Smart bosses will eventually realize that you might be most productive if you work on Sunday afternoon, play golf on Monday morning, go to a movie on Tuesday afternoon, and watch your child play soccer on Thursday.
This is a radical book that will challenge the business world to make the seven-day weekend a reality.
The Travels of a T-Shirt in the Global Economy is a critically-acclaimed narrative that illuminates the globalization debates and reveals the key factors to success in global business. Tracing a T-shirt's life story from a Texas cotton field to a Chinese factory and back to a U.S. storefront before arriving at the used clothing market in Africa, the book uncovers the political and economic forces at work in the global economy. Along the way, this fascinating exploration addresses a wealth of compelling questions about politics, trade, economics, ethics, and the impact of history on today's business landscape. This new printing of the second edition includes a revised preface and a new epilogue with updates through 2014 on the people, industries, and policies related to the T-shirt's life story.
Using a simple, everyday T-shirt as a lens through which to explore the business, economic, moral, and political complexities of globalization in a historical context, Travels encapsulates a number of complex issues into a single identifiable object that will strike a chord with readers as they:Investigate the sources of sustained competitive advantage in different industries Examine the global economic and political forces that explain trade patters between countries Analyze complex moral issues related to globalization and international business Discover the importance of cultural and human elements in international trade
This story of a simple product illuminates the many complex issues which businesspeople, policymakers, and global citizens are touched by every day.
Crunch Big Data to optimize marketing and more!
Overwhelmed by all the Big Data now available to you? Not sure what questions to ask or how to ask them? Using Microsoft Excel and proven decision analytics techniques, you can distill all that data into manageable sets—and use them to optimize a wide variety of business and investment decisions. In Decision Analytics: Microsoft Excel, best selling statistics expert and consultant Conrad Carlberg will show you how—hands-on and step-by-step.
Carlberg guides you through using decision analytics to segment customers (or anything else) into sensible and actionable groups and clusters. Next, you’ll learn practical ways to optimize a wide spectrum of decisions in business and beyond—from pricing to cross-selling, hiring to investments—even facial recognition software uses the techniques discussed in this book!
Through realistic examples, Carlberg helps you understand the techniques and assumptions that underlie decision analytics and use simple Excel charts to intuitively grasp the results. With this foundation in place, you can perform your own analyses in Excel and work with results produced by advanced stats packages such as SAS and SPSS.
This book comes with an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code to streamline several of its most complex techniques.Classify data according to existing categories or naturally occurring clusters of predictor variables Cut massive numbers of variables and records down to size, so you can get the answers you really need Utilize cluster analysis to find patterns of similarity for market research and many other applications Learn how multiple discriminant analysis helps you classify cases Use MANOVA to decide whether groups differ on multivariate centroids Use principal components to explore data, find patterns, and identify latent factors
Register your book for access to all sample workbooks, updates, and corrections as they become available at quepublishing.com/title/9780789751683.
These may not sound like typical questions for an economist to ask. But Steven D. Levitt is not a typical economist. He is a much-heralded scholar who studies the riddles of everyday life—from cheating and crime to sports and child-rearing—and whose conclusions turn conventional wisdom on its head.
Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. They usually begin with a mountain of data and a simple question. Some of these questions concern life-and-death issues; others have an admittedly freakish quality. Thus the new field of study contained in this book: Freakonomics.
Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentives—how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they explore the hidden side of . . . well, everything. The inner workings of a crack gang. The truth about real-estate agents. The myths of campaign finance. The telltale marks of a cheating schoolteacher. The secrets of the Ku Klux Klan.
What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, and—if the right questions are asked—is even more intriguing than we think. All it takes is a new way of looking.
Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It is true that readers of this book will be armed with enough riddles and stories to last a thousand cocktail parties. But Freakonomics can provide more than that. It will literally redefine the way we view the modern world.
Bonus material added to the revised and expanded 2006 editionThe original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven “Freakonomics” columns written for the New York Times Magazine, published between August 2005 and April 2006.Selected entries from the Freakonomics blog, posted between April 2005 and May 2006 at http://www.freakonomics.com/blog/.
Icelanders wanted to stop fishing and become investment bankers. The Greeks wanted to turn their country into a pinata stuffed with cash and allow as many citizens as possible to take a whack at it. The Germans wanted to be even more German; the Irish wanted to stop being Irish.
Michael Lewis's investigation of bubbles beyond our shores is so brilliantly, sadly hilarious that it leads the American reader to a comfortable complacency: oh, those foolish foreigners. But when he turns a merciless eye on California and Washington, DC, we see that the narrative is a trap baited with humor, and we understand the reckoning that awaits the greatest and greediest of debtor nations.
• Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
• Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
• Use probability and probability distributions
• Work with sampling distributions and confidence intervals
• Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
• Perform powerful regression analysis and modeling
• Use multiple regression to develop models that contain several independent variables
• Master specific statistical techniques for quality and Six Sigma programs
About the Web Site
Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e
The important stuff you need to know:Get started fast. Quickly set up accounts, customers, jobs, and invoice items.Follow the money. Track everything from billable and unbillable time and expenses to income and profit.Keep your company financially fit. Examine budgets and actual spending, income, inventory, assets, and liabilities.Gain insights. Open a new dashboard that highlights your company’s financial activity and status the moment you log in.Spend less time on bookkeeping. Create and reuse bills, invoices, sales receipts, and timesheets.Find key info. Use QuickBooks’ Search and Find features, as well as the Vendor, Customer, Inventory, and Employee Centers.
New in the fourth edition of Latent Variable Models:
*a data CD that features the correlation and covariance matrices used in the exercises;
*new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and
*reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching.
Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.
Approximately 35 percent of African Americans had no measurable assets in 2009, and 24 percent of these same households had only a motor vehicle. Dennis Kimbro, observing how the weight of the continuing housing and credit crises disproportionately impacts the African-American community, takes a sharp look at a carefully cultivated group of individuals who've scaled the heights of success and how others can emulate them. Based on a seven year study of 1,000 of the wealthiest African Americans, The Wealth Choice offers a trove of sound and surprising advice about climbing the economic ladder, even when the odds seem stacked against you. Readers will learn about how business leaders, entrepreneurs, and celebrities like Bob Johnson, Spike Lee, L. A. Reid, Herman Cain, T. D. Jakes and Tyrese Gibson found their paths to wealth; what they did or didn't learn about money early on; what they had to sacrifice to get to the top; and the role of discipline in managing their success. Through these stories, which include men and women at every stage of life and in every industry, Dennis Kimbro shows readers how to:
· Develop a wealth-generating mindset and habits
· Commit to lifelong learning
· Craft goals that match your passion
· Make short-term sacrifices for long-term gain
· Take calculated risks when opportunity presents itself
Careers in forensic accounting are hot-US News & World Report recently designated forensic accounting as one of the eight most secure career tracks in America., Forensic accountants work in most major accounting firms and demand for their services is growing with then increasing need for investigations of mergers and acquisitions, tax inquiries, and economic crime. In addition, forensic accountants perform specialized audits, and assist in all kinds of civil litigation, and are often involved in terrorist investigations. Forensic Accounting For Dummies will track to a course and explain the concepts and methods of forensic accounting.Covers everything a forensic accountant may face, from investigations of mergers and acquisitions to tax inquiries to economic crime What to do if you find or suspect financial fraud in your own organization Determining what is fraud and how to investigate
Whether you're a student pursuing a career in forensic accounting or just want to understand how to detect and deal with financial fraud, Forensic Accounting For Dummies has you covered.
Complexity surrounds us. We have too much email, juggle multiple remotes, and hack through thickets of regulations from phone contracts to health plans. But complexity isn’t destiny. Sull and Eisenhardt argue there’s a better way. By developing a few simple yet effective rules, people can best even the most complex problems.
In Simple Rules, Sull and Eisenhardt masterfully challenge how we think about complexity and offer a new lens on how to cope. They take us on a surprising tour of what simple rules are, where they come from, and why they work. The authors illustrate the six kinds o f rules that really matter - for helping artists find creativity and the Federal Reserve set interest rates, for keeping birds on track and Zipcar members organized, and for how insomniacs can sleep and mountain climbers stay safe.
Drawing on rigorous research and riveting stories, the authors ingeniously find insights in unexpected places, from the way Tina Fey codified her experience at Saturday Night Live into rules for producing 30 Rock (rule five: never tell a crazy person he’s crazy) to burglars’ rules for robbery (“avoid houses with a car parked outside”) to Japanese engineers mimicking the rules of slime molds to optimize Tokyo’s rail system. The authors offer fresh information and practical tips on fixing old rules and learning new ones.
Whether you’re struggling with information overload, pursuing opportunities with limited resources, or just trying to change your bad habits, Simple Rules provides powerful insight into how and why simplicity tames complexity.
For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.
And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Schaum's Outline of Principles of Accounting I helps you understand basic accounting concepts and offer extra practice on topics such as debits, credits, the chart of accounts, the ledger, inventory measurement, net realizable value, recovery of bad debts, and methods for computing interest. Coverage also includes fixed assets, depreciation and scrap value, methods of depreciation, payroll, and payroll taxes.
The book first discusses non- and semiparametric models before covering parameters and parametric models. It then offers a detailed treatment of maximum likelihood estimates (MLEs) and examines the theory of testing and confidence regions, including optimality theory for estimation and elementary robustness considerations. It next presents basic asymptotic approximations with one-dimensional parameter models as examples. The book also describes inference in multivariate (multiparameter) models, exploring asymptotic normality and optimality of MLEs, Wald and Rao statistics, generalized linear models, and more.
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II will be published in 2015. It will present important statistical concepts, methods, and tools not covered in Volume I.
- Covers all versions of Excel.
- Display sums and counts without using formulas.
- Master the basics of COUNT, COUNTA, COUNTBLANK, and other counting functions.
- Create conditional counts with COUNTIF and COUNTIFS.
- Calculate the mode for numeric or text values.
- Count unique values in a range.
- Count occurrences of specific text strings.
- Create frequency distributions and histograms.
- Master the basics of the SUM function.
- Use AutoSum to sum values quickly.
- Calculate running totals.
- Sum only the highest or lowest values in a range.
- Eliminate rounding errors in financial calculations.
- Sum every Nth value in a range.
- Create conditional sums with SUMIF and SUMIFS.
- Plenty of tips, tricks, and timesavers.
- Fully cross-referenced, linked, and searchable.
1. Getting Started with Sums & Counts
2. Counting Basics
3. Counting Tricks
4. Frequency Distributions
5. Summing Basics
6. Summing Tricks
- Covers all versions of Excel.
- Understand date and time serial numbers.
- Control how Excel interprets and formats dates and times.
- Resolve problems with two-digit years and negative times.
- Work around Excel's leap-year bug.
- Use the undocumented DATEDIF function.
- Generate series of dates and times.
- Convert imported text and numerical values to dates and times.
- Skip weekends and holidays in business and financial calculations.
- Find specific days of the month for holidays and paydays.
- Round times to the nearest hour, half-hour, minute, or any interval.
- Plenty of tips, tricks, and timesavers.
- Fully cross-referenced, linked, and searchable.
1. Getting Started with Dates & Times
2. Date & Time Basics
3. Date & Time Functions
4. Date Tricks
5. Time Tricks
How to present charts and tables that viewers will grasp immediately: visual information anyone can use!
In an information-overloaded world, you simply must present information effectively. Using charts and tables, you can present categorical and numerical data far more clearly and efficiently. In this Element, we’ll show you exactly how to select and develop easy-to-understand charts and tables for the types of data you’re most likely to work with.
Updated throughout, the second edition features three new chapters—growth modeling with ordered categorical variables, growth mixture modeling, and pooled interrupted time series LGM approaches. Following a new organization, the book now covers the development of the LGM, followed by chapters on multiple-group issues (analyzing growth in multiple populations, accelerated designs, and multi-level longitudinal approaches), and then special topics such as missing data models, LGM power and Monte Carlo estimation, and latent growth interaction models. The model specifications previously included in the appendices are now available on the CD so the reader can more easily adapt the models to their own research.
This practical guide is ideal for a wide range of social and behavioral researchers interested in the measurement of change over time, including social, developmental, organizational, educational, consumer, personality and clinical psychologists, sociologists, and quantitative methodologists, as well as for a text on latent variable growth curve modeling or as a supplement for a course on multivariate statistics. A prerequisite of graduate level statistics is recommended.
From the author of The Blind Side and Moneyball, The Big Short tells the story of four outsiders in the world of high-finance who predict the credit and housing bubble collapse before anyone else. The film adaptation by Adam McKay (Anchorman I and II, The Other Guys) features Academy Award® winners Christian Bale, Brad Pitt, Melissa Leo and Marisa Tomei; Academy Award® nominees Steve Carell and Ryan Gosling.
When the crash of the U.S. stock market became public knowledge in the fall of 2008, it was already old news. The real crash, the silent crash, had taken place over the previous year, in bizarre feeder markets where the sun doesn’t shine and the SEC doesn’t dare, or bother, to tread. Who understood the risk inherent in the assumption of ever-rising real estate prices, a risk compounded daily by the creation of those arcane, artificial securities loosely based on piles of doubtful mortgages? In this fitting sequel to Liar’s Poker, Michael Lewis answers that question in a narrative brimming with indignation and dark humor.
Master modern web and network data modeling: both theory and applications.In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics.
Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications.
Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions.
The book’s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including:
Non-standard, complex data formats, such as robot logs and email messages Text processing and regular expressions Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth Statistical methods, such as classification trees, k-nearest neighbors, and naïve Bayes Visualization and exploratory data analysis Relational databases and Structured Query Language (SQL) Simulation Algorithm implementation Large data and efficiency
Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data.
Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers’ computational reasoning of real-world data analyses.
There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
New to This Edition
*Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more.
*Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping.
*Expanded coverage of psychometrics.
*Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan).
*Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models.
*Exercises with answers, plus end-of-chapter annotated lists of further reading.
*Real examples of troublesome data, demonstrating how to handle typical problems in analyses.
*Topic boxes on specialized issues, such as causes of nonpositive definite correlations.
*Boxed rules to remember.
*Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.
The sixth edition is no exception. It provides an accessible, comprehensive introduction to the theory and practice of time series analysis. The treatment covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. The author has carefully updated each chapter, added new discussions, incorporated new datasets, and made those datasets available for download from www.crcpress.com. A free online appendix on time series analysis using R can be accessed at http://people.bath.ac.uk/mascc/TSA.usingR.doc.
Highlights of the Sixth Edition:A new section on handling real data New discussion on prediction intervals A completely revised and restructured chapter on more advanced topics, with new material on the aggregation of time series, analyzing time series in finance, and discrete-valued time series A new chapter of examples and practical advice Thorough updates and revisions throughout the text that reflect recent developments and dramatic changes in computing practices over the last few years
The analysis of time series can be a difficult topic, but as this book has demonstrated for two-and-a-half decades, it does not have to be daunting. The accessibility, polished presentation, and broad coverage of The Analysis of Time Series make it simply the best introduction to the subject available.
This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy.
The book utilizes Albert Einstein’s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.
As a small-business owner, financial statements are your most important tools—and if you don’t know how to read them and understand their implications, you cannot possibly steer your business successfully. Accounting for the Numberphobic demystifies your company’s financial dashboard: the Net Income Statement, Cash Flow Statement, and Balance Sheet. The book explains in plain English how each measurement reflects the overall health of your business—and impacts your decisions. You will discover:
How your Net Income Statement is the key to growing your profits • How to identify the break-even point that means your business is self-sustaining • Real-world advice on measuring and increasing cash flow • What the Balance Sheet reveals about your company’s worth • And more
Illustrated with case studies and packed with practical action steps, this indispensable guide will put your business on the path to profitability in no time.
Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is designed to provide risk analysts with a framework of the mathematical models and methods used in the measurement and modeling of operational risk in both the banking and insurance sectors.
Beginning with a foundation for operational risk modeling and a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical methods for calibrating models of operational risk. Exercises are included in chapters involving numerical computations for students' practice and reinforcement of concepts.
Written by Harry Panjer, one of the foremost authorities in the world on risk modeling and its effects in business management, this is the first comprehensive book dedicated to the quantitative assessment of operational risk using the tools of probability, statistics, and actuarial science.
In addition to providing great detail of the many probabilistic and statistical methods used in operational risk, this book features:
* Ample exercises to further elucidate the concepts in the text
* Definitive coverage of distribution functions and related concepts
* Models for the size of losses
* Models for frequency of loss
* Aggregate loss modeling
* Extreme value modeling
* Dependency modeling using copulas
* Statistical methods in model selection and calibration
Assuming no previous expertise in either operational risk terminology or in mathematical statistics, the text is designed for beginning graduate-level courses on risk and operational management or enterprise risk management. This book is also useful as a reference for practitioners in both enterprise risk management and risk and operational management.
The quality inspector is the person perhaps most closely involved with day-to-day activities intended to ensure that products and services meet customer expectations. The quality inspector is required to understand and apply a variety of tools and techniques as codified in the American Society for Quality (ASQ) Certified Quality Inspector (CQI) Body of Knowledge (BoK). The tools and techniques identified in the ASQ CQI BoK include technical math, metrology, inspection and test techniques, and quality assurance. Quality inspectors frequently work with the quality function of organizations in the various measurement and inspection laboratories, as well as on the shop floor supporting and interacting with quality engineers and production/service delivery personnel.
This handbook supports individuals preparing to perform, or those already performing, this type of work. It is intended to serve as a ready reference for quality inspectors and quality inspectors in training, as well as a comprehensive reference for those individuals preparing to take the ASQ CQI examination. Examples and problems used throughout the handbook are thoroughly explained, are algebra-based, and are drawn from real-world situations encountered in the quality profession.
To assist readers in using this book as a ready reference or as a study aid, the book has been organized so as to conform explicitly to the ASQ CQI BoK. Each chapter title, all major topical divisions within the chapters, and every main point has been titled and then numbered exactly as they appear in the CQI BoK.
Steve Scott flunked out of every job he held in his first six years after college. He couldn’t succeed no matter how hard he tried. Then Dr. Gary Smalley challenged him to study the book of Proverbs, promising that in doing so he would achieve greater success and happiness than he had ever known. That promise came true, making Scott a millionaire many times over.
In The Richest Man Who Ever Lived, Scott reveals Solomon’s key for winning every race, explains how to resolve conflicts and turn enemies into allies, and discloses the five qualities essential to becoming a valued and admired person at work and in your personal life. Scott illustrates each of Solomon’s insights and strategies with anecdotes about his personal successes and failures, as well as those of such extraordinary people as Benjamin Franklin, Thomas Edison, Oprah Winfrey, Bill Gates, and Steven Spielberg.
At once inspiring and instructive, The Richest Man Who Ever Lived weaves the timeless truths of one of our greatest works of literature into a detailed roadmap for successful living today.